The hybrid censoring scheme is a mixture of type-I and
type-II censoring schemes. It is a popular censoring scheme in the literature
of life data analysis. Mixed exponential distribution (MED) models is a class
of favorable models in reliability statistics. Nevertheless, there is no much
discussion to focus on parameters estimation for MED models with hybrid
censored samples. We will address this problem in this paper. The EM
(Expectation-Maximization) algorithm is employed to derive the closed form of
the maximum likelihood estimators (MLEs). Finally, Monte Carlo simulations and
a real-world data analysis are conducted to illustrate the proposed method.